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Session TA-3: (Deep) Reinforcement Learning for Combinatorial Optimization 3 in stream Data Science Meets Optimization
Tuesday, 8:30-10:00Room: 1005 (building: 202)
| Session chair(s): |
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| 4147. Optimizing a Multi-echelon, Multi-Product, Lost-Sales Inventory Management System through Deep Reinforcement Learning |
Fatemeh Fakhredin
[R] - Germany | accepted | ||
| Joern Meissner
[] - Germany | ||||
| 3674. Learning to Generate Hard Instances: Towards Robust Solutions for Vehicle Routing Problems |
Xia Jiang
[R] - Netherlands | accepted | ||
| Yaoxin Wu
[] - Netherlands | ||||
| Yingqian Zhang
[R] - Netherlands | ||||
| 3775. AM4FJSSP: An Attention Model formulation for the Flexible Job Shop Scheduling Problem |
Lin Xie
[R] - Germany | accepted | ||
| 4142. Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods |
Yingqian Zhang
[R] - Netherlands | accepted | ||
| Robbert Reijnen
[] - Netherlands | ||||
| Yaoxin Wu
[] - Netherlands | ||||
| Zaharah Bukhsh
[] - Netherlands | ||||